Alzheimer's Disease

Evaluating Homoscedastic Uncertainty Weighting and Generative Tau Imputation in a Multimodal, Multitask Deep Learning Framework for Alzheimer's Disease.

Psychometric modeling of Boston process approach data for dementia prediction in the Framingham Heart Study.

OBJECTIVES: Neuropsychological (NP) tests are multi-domain in execution. Reliance on a single score ...

Alzheimer's and Parkinson's Detection with Video-Based Hybrid Deep Learning from Brain MRI.

Dementia, which refers to disorders related to human memory, significantly affects the human brain, ...

Automated Imaging Differentiation for Dementia: Including Alzheimer Disease Dementia and Dementia with Lewy Bodies.

BACKGROUND AND OBJECTIVES: Differentiation of Alzheimer's disease dementia (ADD) and dementia with L...

Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability.

BACKGROUND: Amid growing demands and constrained health care resources, effective hospital bed capac...

Using Machine Learning to Improve Screening for Oropharyngeal Dysphagia in Hospitalized Versus Primary Care Adult Patients With COVID-19 Disease: Retrospective Observational Study.

BACKGROUND: Oropharyngeal dysphagia (OD) commonly occurs in patients with COVID-19 disease, posing d...

Data-driven modelling of tau pathology reveals distinct progressive supranuclear palsy subtypes.

Progressive supranuclear palsy (PSP) is a heterogeneous neurodegenerative disease characterised by t...

Bridging Trials and Real Life in Fixed-Duration BTKi-Venetoclax for CLL: A Delphi-Enhanced Synthesis Incorporating Artificial Intelligence (AI) Benchmarks.

BACKGROUND: Optimal patient selection for the most effective BTK inhibitor (BTKi) partner of venetoc...

Explainable machine learning for predicting mechanical ventilation in Alzheimer's patients with pneumonia: a SHAP-guided XGBoost nomogram based on MIMIC-IV.

Alzheimer's disease (AD) patients are particularly vulnerable to pneumonia and subsequent respirator...

Learning to take it personally: Precision drug repurposing through patient-specific loss on knowledge graphs using Biobank data.

OBJECTIVE: Precision medicine requires drug repurposing methods that adapt to individual patient pro...

Geo-Mamba: Geometry-informed state-space learning of functional brain organization.

Functional magnetic resonance imaging (fMRI) derived functional connectivity (FC) is represented as ...

Dual-center RAPID-LSSVM: Radius-adaptive, probability and imbalance driven weighting for Alzheimer's diagnosis.

Alzheimer's disease (AD) is a leading neurodegenerative disorder and the primary cause of dementia, ...

Nano-radiomics of molecular MRI for early amyloid associated patterns in an Alzheimer's disease mouse model via an automatic pipeline.

Electronic health record-based prediction models for dementia detection: a systematic review of model performance and quality.

OBJECTIVES: Leveraging routine electronic health records (EHR) for dementia detection is a growing f...

Dual-model deep learning for Alzheimer's prognostication.

Disease-modifying therapies for Alzheimer's disease demand precise timing decisions, yet current pre...

Extended Reality in Neurosurgery : Surgical Planning, Navigation, Education, and Patient Communication.

Extended reality (XR), encompassing virtual reality (VR), augmented reality (AR), and mixed reality ...

Assessing racial disparities in dementia-related vulnerabilities: a machine learning analysis of social, environmental, and climate factors.

INTRODUCTION: Racial differences in exposure to area-level social determinants of health (SDoH) may ...

Drug repurposing in Alzheimer's disease: Emerging therapeutic strategies and promising candidates.

Alzheimer's disease is a progressive neurodegenerative disorder, and the most common cause of dement...

Leveraging machine learning to predict Parkinson's disease using pre-symptomatic proteomics data.

In Parkinson's disease, non-motor symptoms precede the characteristic motor manifestations by up to ...

Real-World Data From a Group Parent Management Training Program Enhanced Using Artificial Intelligence: Qualitative Study.

BACKGROUND: Parent management training (PMT) is an evidence-based intervention for children with dis...

Voice Biomarkers: Cognitive Impairment, including Alzheimer's Disease, Dementia, or Mild Cognitive Impairment: Introduction to Peripheral Neuropathy.

INTRODUCTION/OBJECTIVE: Alzheimer's disease (AD) can cause certain nervous disorders, which in turn ...